Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling
In this paper, the reliability of a new online cutting edge radius estimator for micro end milling is evaluated. This estimator predicts the cutting edge radius by detecting the drop in the chip production rate as the cutting edge of a micro end mill slips over the workpiece when the minimum chip th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
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| Series: | Journal of Manufacturing and Materials Processing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4494/3/1/25 |
| _version_ | 1818385253689982976 |
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| author | Jue-Hyun Lee Angela A. Sodemann |
| author_facet | Jue-Hyun Lee Angela A. Sodemann |
| author_sort | Jue-Hyun Lee |
| collection | DOAJ |
| description | In this paper, the reliability of a new online cutting edge radius estimator for micro end milling is evaluated. This estimator predicts the cutting edge radius by detecting the drop in the chip production rate as the cutting edge of a micro end mill slips over the workpiece when the minimum chip thickness (MCT) becomes larger than the uncut chip thickness (UCT), thus transitioning from the shearing to the ploughing dominant regime. This study proposes a method of calibrating the cutting edge radius estimator by determining two parameters from training data: a ‘size filtering threshold’ that specifies the smallest-size chip that should be counted, and a ‘drop detection threshold’ that distinguishes the drop in the number of chips at the actual critical feedrate from the number drops at the other feedrates. This study then evaluates the accuracy of the calibrated estimator from testing data for determining the ‘critical feedrate’—the feedrate at which the MCT and UCT will be equal. It is found that the estimator is successful in determining the critical feedrate to within 1 mm/s in 84% of trials. |
| first_indexed | 2024-12-14T03:35:13Z |
| format | Article |
| id | doaj.art-774821a349ae4db396067d40e0128356 |
| institution | Directory Open Access Journal |
| issn | 2504-4494 |
| language | English |
| last_indexed | 2024-12-14T03:35:13Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Manufacturing and Materials Processing |
| spelling | doaj.art-774821a349ae4db396067d40e01283562022-12-21T23:18:38ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942019-03-01312510.3390/jmmp3010025jmmp3010025Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End MillingJue-Hyun Lee0Angela A. Sodemann1School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85281, USAFaculty of Polytechnic School, Arizona State University, Mesa, AZ 85212, USAIn this paper, the reliability of a new online cutting edge radius estimator for micro end milling is evaluated. This estimator predicts the cutting edge radius by detecting the drop in the chip production rate as the cutting edge of a micro end mill slips over the workpiece when the minimum chip thickness (MCT) becomes larger than the uncut chip thickness (UCT), thus transitioning from the shearing to the ploughing dominant regime. This study proposes a method of calibrating the cutting edge radius estimator by determining two parameters from training data: a ‘size filtering threshold’ that specifies the smallest-size chip that should be counted, and a ‘drop detection threshold’ that distinguishes the drop in the number of chips at the actual critical feedrate from the number drops at the other feedrates. This study then evaluates the accuracy of the calibrated estimator from testing data for determining the ‘critical feedrate’—the feedrate at which the MCT and UCT will be equal. It is found that the estimator is successful in determining the critical feedrate to within 1 mm/s in 84% of trials.https://www.mdpi.com/2504-4494/3/1/25micro end millingminimum chip thicknesschip production ratecutting edge radius |
| spellingShingle | Jue-Hyun Lee Angela A. Sodemann Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling Journal of Manufacturing and Materials Processing micro end milling minimum chip thickness chip production rate cutting edge radius |
| title | Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling |
| title_full | Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling |
| title_fullStr | Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling |
| title_full_unstemmed | Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling |
| title_short | Reliability of Cutting Edge Radius Estimator Based on Chip Production Rate for Micro End Milling |
| title_sort | reliability of cutting edge radius estimator based on chip production rate for micro end milling |
| topic | micro end milling minimum chip thickness chip production rate cutting edge radius |
| url | https://www.mdpi.com/2504-4494/3/1/25 |
| work_keys_str_mv | AT juehyunlee reliabilityofcuttingedgeradiusestimatorbasedonchipproductionrateformicroendmilling AT angelaasodemann reliabilityofcuttingedgeradiusestimatorbasedonchipproductionrateformicroendmilling |